Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving

Haochen Liu, Zhiyu Huang, Jingda Wu +1

Learning-based approaches, such as reinforcement learning (RL) and imitation learning (IL), have indicated superiority over rule-based approaches in complex urban autonomous drivin…